In today's digital business world, data drives decision-making, making analytics skills a highly marketable asset for anyone preparing for a leadership role. Develop your proficiency in cutting-edge data tools and techniques with our Graduate Certificate in Business Analytics—and grow your confidence in harnessing the power of data to create smart business strategies.
Graduate Certificate in Business Analytics
- Program Structure: 4–5 courses
- Class Schedule: Monday–Thursday evenings at 5:20 p.m. and 7:30 p.m.
- Time to Complete: 1 to 3 years
12 or 15
Credits may be applied toward a future MBA
Among national universities (U.S. News & World Report)
- Learn the latest analytical methods for essential business practices, building your repertoire of skills for making decisions with data
- Specialize your studies with electives relevant to your goals, such as advanced data mining techniques, coding languages, visual dashboards, artificial intelligence, and machine learning
- Build your confidence and experience through applied project work and case studies—key components of Northeastern's practice-oriented approach to learning
- Access expert career guidance from an experienced counselor at Northeastern's office of Employer Engagement and Career Design
- Complete your certificate in as few as four courses, with the option for one additional elective to deepen your knowledge
- Build the foundation for a future master's degree from Northeastern—you may be able to apply your certificate credits toward an eligible master's program
The business learning you need in as few as four graduate classes
Customize your path to an MBA
- English language proficiency: English proficiency, both written and verbal, is necessary for success in D'Amore-McKim classrooms. For more information, review our admissions policies.
- GMAT Required? No.
- Where do I apply? Learn more here.
- Interview required? Upon request.
- Eligible for International Student Visa? No. This program is not F-1 visa compliant.
Need guidance on completing your application? The application checklist provides step-by-step instructions and tips from our admissions team.
Need guidance in composing the personal statement for your application? The essay guide will help you organize your thoughts and draft your copy.
There are three entry terms each year in January, May, and September.
Northeastern University's Student Financial Services website is your best resource for the most current and comprehensive information to help prepare you financially.
To view tuition rates, please visit the Northeastern Student Financial Services page. Click the dropdown under “Graduate Programs” and find the cost per credit for the current academic year listed next to “D'Amore-McKim School of Business Programs.”
There are a number of resources to help you finance your Northeastern graduate education, and the Student Financial Services team is here to guide you through the process and make it as simple as possible. Please visit the Graduate Financial Aid page.
Once you are a student, your financial aid advisor will work with you one-on-one to answer your questions, point you to resources and provide valuable insight as you navigate the financial commitments of your program.
At Northeastern, we value and celebrate diversity in all its forms and strive to foster an inclusive culture built on respect that affirms inter-group relations and builds community, which is vital to learning and discovery.
Clubs and Organizations
Northeastern has many opportunities for you to be engaged with our community. Examples include the following:
The purpose of the GSCC is to build community for graduate students of color at Northeastern University by promoting education, professionalism, and civic duty. The GSCC fosters student, staff, and faculty relationships to establish a campus home for higher education at Northeastern. Through civic engagement with surrounding communities, the GSCC recognizes the continued struggles of marginalized populations, and the need for those who have succeeded to give back.
Grad Q is a student organization for LGBTQ+ graduate students at Northeastern. Grad Q is focused on building community, social events, advocacy, and mentoring undergraduate students.
We have a number of cultural centers on campus to support our campus community by providing programs, lectures, and events for students with a range of affiliations and interests including the LGBTQA Resource Center, Office of Global Services, Latinx Student Cultural Center, Asian American Center, and many more.
The Part-Time Graduate Certificate in Business Analytics—designed for working professionals in the Boston area—explores analytical methods that can be used to drive better outcomes across industries and business functions.
Your core coursework will deepen your knowledge of the major components of cutting-edge analytics and data science—statistical methods, data management, and visualizing and communicating data. You'll choose three or four electives on topics that support your career goals, such as artificial intelligence, machine learning, advanced data mining techniques, or programming languages. No previous analytics background is required.
Provides a comprehensive approach to understanding how business analytics enable companies to become more competitive. Offers students an opportunity to learn how to apply value chain analysis and other strategic perspectives to determine how business analytics can be integrated effectively into a firm's operations. Interactive activities such as simulations and case studies allow students to explore how insights from data can improve business decisions. Examines real-world examples of how companies have used business analytics perspectives and tools to enhance different types of business processes, such as inventory prediction, customer service quality, and resolution of ethical dilemmas.
MISM 6200 | 3 credits
Electives (Choose 3-4)
Covers basic principles and techniques of descriptive and predictive analytics. What are the essential data analysis concepts underlying business analytics? Topics include descriptive statistics, data visualization, probability and modeling uncertainty, sampling, estimation and confidence intervals, hypothesis testing, analysis of variance, simple and multiple regression analysis, time-series analysis, and forecasting. Emphasizes an understanding of how these tools can support decision-making and analytics initiatives in a business context with real-world examples and case studies. Uses various software packages for analyzing data sets and creating visualizations.
MISM 6202 | 3 credits
Introduces key analytics methods for using data through the perspectives of applied statistics and operations analysis. Covers application of these methods to business areas including marketing, supply chain management, and finance. Topics include business-analytic thinking; application of business analytics solutions to business problems; data mining, supervised and unsupervised machine learning; methods for detecting co-occurrences and associations; and achieving and sustaining competitive advantage by using business analytics methods.
MISM 6203 | 3 credits
Introduces design principles for creating meaningful displays of information to support effective business decision-making. Studies how to collect and process data; create interactive visualizations; and use them to demonstrate or provide insight into a problem, situation, or phenomenon. Introduces methods to critique visualizations along with ways to identify design principles that make good visualizations effective. Discusses the challenges of making data understandable across a wide range of audiences. Provides an overview of data visualization, key design principles and techniques for visualizing data, and the fundamentals of communication that are required for effective data presentation. Other topics may include ethical uses of information displays, storytelling, infographics, immersive visualizations, and information dashboard design. Offers students an opportunity to use one or more software tools.
MISM 6210 | 3 credits
Examines data mining perspectives and methods in a business context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students use contemporary data mining software applications and practice basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.
MISM 6212 | 3 credits
Covers the leading data practices from early adopters, focusing on innovative information design, data quality, data sharing, and data integration perspectives and methods for managing data and business analytics. Explores how data analytics and management can be strategically implemented to transform a company. Discusses theories and contemporary industry practice, and real-world data and cases are used for discussion and projects. Offers students an opportunity to prepare for problem identification and solution perspectives of data-related projects, gearing up for MISM 6214.
MISM 6213 | 3 credits
Offers students an opportunity to engage in a real-world project that engages all concepts and methods covered over the course of the business analytics program. Students apply the business analytics knowledge they have gained to collect, visualize, analyze, and manage data from a real company (or companies). Based on their results, students present a proposal for strategic actions to be taken by the company with a viable scope. The project is reviewed by peers, faculty, and external judges from industry.
MISM 6214 | 3 credits
Designed to develop strategic decision-making skills using the latest analytics capabilities and enabler. Examines the state of the art in analytics capabilities and how these drive supply chains, from marketing to sourcing. Also examines how organizations use analytics to meet their strategic objectives, provide value to the business, and make decisions. Focuses on industry best practices, including studying some of the leading companies.
SCHM 6215 | 3 credits
The curriculum is subject to change by D'Amore-McKim faculty. Course offerings may vary by semester.
“Connect the dots you have, and build new links to cutting edge concepts in analytics and data science. We've designed this certificate to integrate immediately with your knowledge base, while also taking you to the frontier of analytics. It's a chance to see the business landscape with fresh eyes, and use data to make the big decisions.”Kwong Chan, Executive Director, DATA Initiative
Faculty Director, MS in Business Analytics
Associate Academic Specialist, Marketing
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